Bachelor of Engineering (B.Eng.) Electronics and Data Engineering

4 Years On Campus Bachelors Program

Technical University of Munich

Program Overview

The Electronics and Data Engineering (B.Eng.) at the Technical University of Munich is designed for students who want to work at the intersection of electronics, semiconductors, and data-driven technologies. The program builds strong foundations in electronics engineering and data science while preparing students for emerging fields such as AI-enabled hardware, IoT systems, and intelligent manufacturing.

Curriculum structure

Year 1
Students start with essential engineering foundations including Mathematics, Physics, Programming, and Introduction to Electronics. These subjects develop analytical thinking and computational skills while introducing core concepts that support later studies in semiconductor technology and data engineering.

Year 2
In the second year, students deepen their technical knowledge through modules such as Semiconductor Physics, Circuit Design, and Signals and Systems. At the same time, they strengthen their data engineering skills, learning how computation and analytics are applied to modern electronic devices and smart systems.

Year 3
The third year introduces specialized subjects including Digital Communications, Power Electronics, and Bioelectronics. Students begin integrating hardware design with data-driven technologies, focusing on communication systems, intelligent electronics, and applications in automation and connected devices.

Year 4
The final year focuses on advanced industry-oriented topics such as Semiconductor Fabrication along with project-based learning and the bachelor’s thesis. Students apply AI, IoT, and data engineering techniques to real-world electronics and manufacturing challenges, preparing them for professional engineering roles.

Focus areas (in a string):

Electronics engineering, Semiconductor technology, Circuit design, Data engineering, Artificial intelligence applications, Internet of Things systems, Robotics and automation, Digital communications, Power electronics, Semiconductor manufacturing

Learning outcomes (in a string):

Strong foundation in electronics and data engineering, Ability to design electronic and semiconductor systems, Skills in data analytics and machine learning for engineering applications, Competence in AI and IoT integration, Knowledge of digital communication technologies, Understanding of automation and robotics systems, Engineering problem-solving using mathematics and programming, Experience with semiconductor fabrication processes, Ability to develop intelligent manufacturing solutions

Professional alignment (accreditation):

The program is jointly delivered with strong industry orientation and aligns with global electronics, semiconductor, and digital engineering workforce requirements.

Reputation (employability rankings):

The Technical University of Munich is internationally recognized for engineering education and maintains strong industry connections in electronics, semiconductor technology, sensors, and power electronics, supporting excellent employability outcomes for graduates.

Experiential Learning (Research, Projects, Internships etc.)

Students in the Electronics and Data Engineering (B.Eng.) develop practical skills through hands-on laboratory work, applied engineering modules, and structured industry exposure. The program combines electronics design, semiconductor technology, and data engineering with project-based learning, allowing students to work with real systems and modern engineering tools. Practical training is reinforced through integrated work-study components, collaborative projects, and access to specialized engineering facilities used in electronics, embedded systems, and data-driven applications:

Integrated Work-Study Programme that provides structured industry experience where students apply electronics and data engineering knowledge in professional environments
Laboratory-based learning in areas such as Digital Electronics, Circuit Design Fundamentals, Sensor Electronics, and Real-Time and Embedded Systems
Group-based Design Innovation and Social Innovation Project focused on collaborative engineering problem solving and system development
Specialized technical labs in Semiconductor Physics, Semiconductor Fabrication, RF Electronics, and Power Electronics for hands-on experimentation
Practical training in Machine Learning, Data Analytics, Database Systems, and Statistical Signal Processing for data engineering applications
Automation and Robotics modules offering experience with industrial electronics and intelligent automation systems
Embedded systems and Internet of Things development through Real-Time and Embedded Systems and IoT-focused coursework
Capstone bachelor’s thesis involving applied research or industry-oriented engineering project work
Overseas exposure component providing international academic experience through the partner institution
Access to engineering laboratories and facilities at the Singapore Institute of Technology supporting electronics, semiconductor, and data engineering training

Progression & Future Opportunities

Graduates of the Electronics and Data Engineering (B.Eng.) are well prepared for careers in electronics, semiconductor technology, and data-driven engineering environments. The program combines hardware expertise with analytics and AI skills, opening opportunities across intelligent manufacturing, embedded systems, and advanced electronics industries. Typical roles include Electrical and Electronics Engineer, Data Engineer, Process Engineer, and Application Engineer:

Integrated Work-Study Programme gives students structured industry experience, allowing them to apply classroom knowledge in real professional environments before graduation
Strong university–industry collaboration through the programme’s Industry Advisory Committee, including companies such as Rohde & Schwarz, STMicroelectronics, Siemens, Micron Technology, Continental Automotive, and Infineon
TUM Career Service supports employability through career counselling, CV and application checks, interview preparation, networking events, and job portals
Career workshops, employer events, and recruitment fairs connect students directly with engineering and semiconductor companies
The programme is designed to meet growing demand in the global semiconductor and electronics industry, supporting strong graduate employment prospects
Graduates develop skills in semiconductor physics, circuit design, AI, IoT, robotics, and automation used in modern electronics engineering roles
International joint degree with Singapore Institute of Technology enhances global recognition and employability across multinational technology companies

Further Academic Progression:
After completing this program, graduates can continue with master’s degrees in Electronics Engineering, Electrical Engineering, Data Engineering, Artificial Intelligence, Embedded Systems, Robotics, or Semiconductor Technology. The interdisciplinary foundation also supports progression into advanced study in intelligent systems, digital manufacturing, and AI-driven hardware engineering.